참고문헌
- Agarwal, R., & Karahanna, E. (2000). Time flies when you're having fun: Cognitive absorption and beliefs about information technology usage. MIS quarterly, 665-694. https://doi.org/10.2307/3250951
- Agarwal, R., & Prasad, J. (1998). The antecedents and consequents of user perceptions in information technology adoption. Decision support systems, 22(1), 15-29. https://doi.org/10.1016/S0167-9236(97)00006-7
- Balta-Ozkan, N., Davidson, R., Bicket, M., & Whitmarsh, L. (2013). Social barriers to the adoption of smart homes. Energy Policy, 63, 363-374. https://doi.org/10.1016/j.enpol.2013.08.043
- Barclay, Donald, Christopher Higgins, & Ronald Thompson, (1995). The partial least squares (PLS) approach to causal modeling: personal computer adoption and use as an illustration. Technology studies 2.2, pp. 285-309.
- Chin, W. W., & Todd, P. A. (1995). On the use, usefulness, and ease of use of structural equation modeling in MIS research: a note of caution. MIS quarterly, 237-246.
- Choi, Y. N., (2015), Analysis and Factors of Smart Healthe Care Service on Acceptances and Differences by User's Type.
- Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
- Delone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: a ten-year update. Journal of management information systems, 19(4), 9-30. https://doi.org/10.1080/07421222.2003.11045748
- Duxbury, L. E., & Higgins, C. A. (1991). Gender differences in work-family conflict. Journal of applied psychology, 76(1), 60. https://doi.org/10.1037/0021-9010.76.1.60
- Falk, R. F., & Miller, N. B. (1992). A primer for soft modeling. University of Akron Press.
- Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention, and behavior: An introduction to theory and research.
- Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics.
- Gartner, G. S. W. P. C. (2017). Services Market to Grow 18 Percent in 2017.
- Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural equation modeling: a multidisciplinary journal, 6(1), 1-55. https://doi.org/10.1080/10705519909540118
- Jung, D. W. & Ann, H. J., (2015). Impact of the Characteristics of Docent Mobile Apps on User Satisfaction and Intention to Re-use. The Korea Contents Society, 16(1), pp. 329-341. https://doi.org/10.5392/JKCA.2016.16.01.329
- Jung, J. W., (2018). A Study on the Information Security Factors Affectingof Smart Home IoT Services. The Graduate School of Soongsil University.
- Karahanna, E., Straub, D. W., & Chervany, N. L. (1999). Information technology adoption across time: a cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS quarterly, 183-213.
- Kim, H. S., (2011). A Study on Influencing of the Impact of Factors on the IPTV Interactive Service Adoption to Re-Use Intention : Focused on IPTV Service Quality, The Department of Business Administration Major in Information Media Management. The Graduate School of Kwangwoon University.
- Kim, H. S. & Kim, H. C. & Ji, Y. G., (2015). User Requirement Elicitation for U-City Residential Environment : Concentrated on Smart Home Servic. The Journal of Society for e-Business Studies 20(1) pp. 167-182, https://doi.org/10.7838/jsebs.2015.20.1.167
- Kim, J. D., (2015). The Effect of Art Museum Visitation Experience on Re-visitation Intention According to the Characteristic of Smart Device Application Programs: Focusing on Participatory Visitation Experience. The Graduated School of Chung-Ang University.
- Kim, K. H., (2017). A Study on the Factors Affecting Switching Intention of PublicCertificate Storage - Focused on Smart Certificate(USIM)-, Department of Business Administration Graduate School of Soongsil University.
- Kim, S. J., (2014). Factors Influencing the Intention to Use Mobile Services in Academic Libraries. Journal of the Korean Biblia Society for Library and Information Science, 25(1). pp. 85-105. https://doi.org/10.14699/kbiblia.2014.25.1.085
- Kim. B. R., (2019). A Study on the Use Intention of Smart-home Service Based on the UTAUT Model : Focused on the Characteristics of the Digital Natives. The Graduate School of Hanyang University.
- Kim. G. S. & Jeon. H. J. & Shin. J. W., (2010). Consumers' Smart Grid Acceptance Model: Stuctural Equation Modeling Approach. Korean Energy Economic Review. 9(2). pp. 101-128.
- Kim. N, H. & Kim, B, S & Seo, J. H. & Kim, J. K., (2008). A Preferencee Analysis of IT Components for Mobile Banking Service. Jiurnal of Information Technology Services. 7(1), PP89-101.
- Ko, Y. K. & Kim, K. H., (2011). Analysis on the Factors that Affect the User's Intention of Reusing Mobile App-based Tourism Contents. The Korea Contents Society, 11(12), p. 844-855. https://doi.org/10.5392/JKCA.2011.11.12.844
- Koh, G, D., (2014). Mobile Tourism Information Search & Purchase Intent: Integrated Model based on TPB and TAM. Graduate School of Tourism & Hospitality Kyonggi University.
- Koo, C. & Y. Wati, (2010), Toward an Understanding of the Mediating Role of Trust in Mobile Banking Service: An Empirical Test of Indonesia Case, Journal of Universal Computer Science, 16(13), pp. 1801-1824.
- Lee, J. C., (2018). A study on Influence of Smart Home Characteristics on Intension to Use Based on VAM, TAM Integrated Model. The Graduate School Hansung University.
- Lee, M. H & HAN, K. S & Jang J. W & KIM, S. Y., (2019), A Study on the Intention of Using IoT based Smart Home Service ?Focusing on fine dust detection Solutions, Journal of Digital Contents Society 20(1), pp. 135-144. https://doi.org/10.9728/dcs.2019.20.1.135
- Lee, S. K., (2005). An Empirical Study on Mobile Technology Adoption based on the Technology Acceptance Model and Theory of Planned Behavior, The Korea Society of Management Information Systems, 7(2), pp. 61-84.
- Moore, G.C. and Benbasat.I, (1991), Development of an instrument to measure the preceptions of adopting an information techonogy innovation. Information systems research, 2(3), pp. 192-222. https://doi.org/10.1287/isre.2.3.192
- Oh, J., (2011). A Study on Purchasing Intention of Application using Theory of Reasoned Action, 18(4), pp. 141-163, Korean Corporation Management Association,
- Park, J. & H. Joo, (2009). Effect That Hotel Customer's Behavior Beliefs and Subjective Norm get in Attitude and Visit Intention : Laying Stress on Planned Behavior Theory. 21(4), pp. 509-524, Journal of tourism and leisure research,
- Parveen, F., & Sulaiman, A. (2008). Technology complexity, personal innovativeness and intention to use wireless internet using mobile devices in Malaysia. International Review of Business Research Papers, 4(5), 1-10.
- Patnayakuni, R., Rai, A., & Seth, N., (2006). Relational antecedents of information flow integration for supply chain coordination. Journal of Management Information. Journal of information Technology Services Systems, 23(1), pp. 13-49. https://doi.org/10.2753/MIS0742-1222230101
- Pitt, L. F. and R. T. W. atson, (1995), Service Quality: A M easure of Inform ation Systems Effectiveness. MIS Quarterly, 19(2), pp. 173-187, https://doi.org/10.2307/249687
- Rai, A., R. Patnayakuni, N. Patnayakuni, (2006). Firm performance impacts of digitally enabled supply chain integration capabilities. MIS Quart. 30(2) pp. 225-246. https://doi.org/10.2307/25148729
- Ricker, C., Janse, M. D., Portolan, N. & Streitz, N., (2005). User requirements for intelligent home environments : A scenario-driven approach and empirical cross-cultural study., pp. 111-116. 2005.
- Rogers, E. M., (1995). Diffusion of Innovations: modifications of a model for telecommunications. In Die diffusion von innovationen in der telekommunikation (pp. 25-38). Springer, Berlin, Heidelberg.
- Seddon, P. B., (1997), A Respecification and Extension of the DeLone and McLean Model of IS Success, Information Systems Research, Vol. 8, No. 3, pp. 240-253. https://doi.org/10.1287/isre.8.3.240
- Shim. D. Y., (2018). The Effect of OTT Service's Quality Characteristics, Users'Characteristics on User Satisfaction, Loyalty, and Continuous Use Intention. The Graduate School of Hanyang University.
- Shin, H., (2010). Moderating Effects of Personal Innovativeness on the Relationship between Perceived Usefulness, Subjective Norm and Intention to Use Mobile Internet. The Journal of information systems, 19(3), pp. 209-236. https://doi.org/10.5859/KAIS.2010.19.3.209
- Shin, M. S., (2016). Effects of expectations for IoT u-health based home care service characteristics in service trust, service satisfaction and intention for future use. Graduate School of Dankook University.
- Srite, M. & Karahanna, E., (2006), The role of espoused national cultural values in technology acceptance. MIS quarterly, 30(3), pp. 679-704. https://doi.org/10.2307/25148745
- Taylor, S. & Todd, P. A., (1995), Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), pp. 144-176. https://doi.org/10.1287/isre.6.2.144
- Tenenhaus, M., Vinzi, V. E., Chatelin, Y. M. & Lauro, C., (2005). PLS path modeling. Computational statistics & data analysis, 48(1), pp. 159-205. https://doi.org/10.1016/j.csda.2004.03.005
- Venkatesh, V. & Davis, F. D., (1996), A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27(3), pp. 451-481. https://doi.org/10.1111/j.1540-5915.1996.tb01822.x
- Venkatesh, V. and F. D. Davis, (2000), A Theoretical Extension of the Technology Acceptance Model : Four Longitudinal Field Studies, Management Science, 46(2), pp. 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926
- Venkatesh, V., Morris, M., Davis, G. & Davis, F., (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), pp. 447.
- Werts, C. E., Linn, R. L. & Jreskog, K. G. (1974). Intraclass reliability estimates: testing structural assumptions. Educational and Psychological measurement, 34(1), pp. 25-33. https://doi.org/10.1177/001316447403400104
- Yoh, E., (1999). Consumer Adoption of the internet for apparel shopping, Ph. D. Dissertation, Iowa State University.
- Yu, W. Y., (2018). A Study on Access Control Policy Management between IoT Devices for Smart Home Security. The Graduate School of Chung-Ang University.